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Скачать или смотреть Dynamically Render Table Columns and Rows in rsuite with React

  • vlogize
  • 2025-05-25
  • 10
Dynamically Render Table Columns and Rows in rsuite with React
rsuite table render dynamic column and rowjavascriptreactjstypescriptrsuite
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Описание к видео Dynamically Render Table Columns and Rows in rsuite with React

Learn how to dynamically create table columns and rows in `rsuite` with React and TypeScript, using sample data without hardcoding.
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This video is based on the question https://stackoverflow.com/q/71288159/ asked by the user 'Shwathi Subramanian' ( https://stackoverflow.com/u/18288724/ ) and on the answer https://stackoverflow.com/a/71291811/ provided by the user 'elirand5' ( https://stackoverflow.com/u/10481417/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: rsuite table render dynamic column and row

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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Dynamically Render Table Columns and Rows in rsuite with React

If you've ever worked with tables in React, you might have encountered scenarios where the data changes, and you need a flexible way to render your tables without hardcoding each column and row. In this guide, we will explore how to dynamically render table columns and rows using the rsuite table component, a powerful UI library for React. This will help keep your code clean, maintainable, and adaptable to data changes.

The Challenge

You're tasked with creating a table that displays user information, like the names and cities of several users, but without explicitly defining each column. Instead, you want to automatically generate the columns based on the data you have. This can be particularly useful in applications where the structure of the data can vary or when you're handling large datasets.

Step-by-Step Solution

To achieve this, we'll break the problem down into manageable sections and use the rsuite library in our React application.

Setting Up Your React App

First, make sure you have the rsuite library installed in your React application. You can add it using npm or yarn:

[[See Video to Reveal this Text or Code Snippet]]

Next, import the necessary components into your React file. Here’s a simple structure:

[[See Video to Reveal this Text or Code Snippet]]

Sample Data

We will use some sample user data in the form of an array of objects. Each object holds properties that will become the columns in our table.

[[See Video to Reveal this Text or Code Snippet]]

Extracting Keys for Dynamic Columns

Instead of hardcoding the columns, we can dynamically extract the keys from the first object in our sample data. This way, we can construct the table headings and rows based on this structure.

[[See Video to Reveal this Text or Code Snippet]]

Creating the Table Component

Now, you can create the main React component that will render the dynamic table. The Table component will iterate over the keys to generate the columns and cells.

[[See Video to Reveal this Text or Code Snippet]]

Important Note on Keys

While mapping over the keys to create columns, it's crucial to specify a unique key for each Column to avoid potential rendering issues. Using the data_key itself is generally a safe choice as long as the keys are unique within the data objects you are supplying.

Conclusion

By following these steps, you can create a dynamic table with the rsuite library in React, adapting to changes in your data without the need for hardcoding. This technique is not only efficient but also enhances the maintainability of your code, allowing for easier updates and scalability.

Feel free to modify the sampleData and observe how the table automatically adjusts to accommodate different structures. Happy coding!

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